University of Hertfordshire

From the same journal

Modeling and Detection of Hotspot in Shaded Photovoltaic Cells

Research output: Contribution to journalArticlepeer-review


  • Daniele Rossi
  • Martin Omana
  • Daniele Giaffreda
  • Cecilia Metra
View graph of relations
Original languageEnglish
Pages (from-to)1031 - 1039
Number of pages9
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Early online date18 Jul 2014
Publication statusPublished - 1 Jun 2015


In this paper, we address the problem of modeling the thermal behavior of photovoltaic (PV) cells undergoing a hotspot condition. In case of shading, PV cells may experience a dramatic temperature increase, with consequent reduction of the provided power. Our model has been validated against experimental data, and has highlighted a counterintuitive PV cell behavior, that should be considered to improve the energy efficiency of PV arrays. Then, we propose a hotspot detection scheme, enabling to identify the PV module that is under hotspot condition. Such a scheme can be used to avoid the permanent damage of the cells under hotspot, thus their drawback on the power efficiency of the entire PV system.


This document is the Accepted Manuscript version of the following article: Daniele Rossi, Martin Omaῆa, Daniele Giaffreda, Cecilia Metra, ‘Modeling and Detection of Hotspot in Shaded Photovoltaic Cells’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 23 (6): 1031-1039, July 2014, DOI: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ID: 12471206